Multi-query evaluation over compressed XML data in DaaS

Xiaoling Wang, Aoying Zhou, Juzhen He, Wilfred Ng, Patrick Hung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper addresses the problem of evaluating a heavy load of subscribed queries (or simply multi-queries) over compressed XML data in a distributed service-oriented DaaS (Database as a Service) environment. We propose a holistic approach that evaluates complex queries over a compressed document and forwards the compressed results directly to the data requestor (DR). Firstly, we review the data management issues in DaaS, and then we will address the multi-queries optimization problem. Secondly, we introduce a new rewriting translation technique to decompose and reorganize a complex query into its corresponding Structure of complex XPath (SXP). Following this, multi-query evaluation is performed based on the containment relationships between the queries. The containment relationships are exploited by a global data structure, the Structural-Query-Index Tree (SQIT), which supports prefix sharing among the submitted queries. The experimental results demonstrate that the proposed approach obtains higher query processing efficiency than traditional ones.

Original languageEnglish
Title of host publicationNew Frontiers in Information and Software as Services
Subtitle of host publicationService and Application Design Challenges in the Cloud
PublisherSpringer Verlag
Pages185-208
Number of pages24
ISBN (Print)9783642192937
DOIs
StatePublished - 2011

Publication series

NameLecture Notes in Business Information Processing
Volume74 LNBIP
ISSN (Print)1865-1348

Keywords

  • Database as a service
  • Multi-query processing
  • XML
  • XML compression
  • XML queries

Fingerprint

Dive into the research topics of 'Multi-query evaluation over compressed XML data in DaaS'. Together they form a unique fingerprint.

Cite this